Make Airflow your enterprise REST API orchestrator
Airflow's HttpOperator is a starting point — not a finished pattern. BatchFoundry installs a production REST framework that handles auth, retries, pagination, schema validation, and idempotency the way enterprise platforms expect.
The HttpOperator gap
A vanilla HttpOperator will happily double-charge a credit card or double-create a customer record if Airflow retries a failed task. Production REST orchestration requires idempotency keys, exponential backoff with jitter, schema validation against an OpenAPI spec, OAuth2 / mTLS / JWT auth refresh, response pagination handling, and partial-failure replay. Most teams reinvent these patterns poorly — or not at all.
Patterns we install
- Idempotency-Key headers on every POST/PUT, with key generation tied to DAG run + task ID
- tenacity-based retry policies per HTTP status class (4xx vs. 5xx vs. timeout)
- Schema validation against OpenAPI 3.x specs at task start and end
- Webhook-receive pattern for async APIs: deferred operator + webhook → completion event
- Distributed tracing via OpenTelemetry headers propagated through every outbound call
What BatchFoundry delivers
- Audit of every existing HttpOperator-using DAG
- Replacement plan with quantified risk reduction (e.g. '78 of 312 calls have no idempotency protection')
- Operator library installation: IdempotentHttpOperator, PagedHttpOperator, OAuth2Operator, MtlsHttpOperator
- One-week training for your platform team
What we won't tell you
Some legacy APIs don't support idempotency keys, OAuth refresh, or even consistent error codes. We'll tell you which calls remain risky and what compensating controls — manual approvals, pre-flight checks — to add.
Get a REST integration audit
We'll quantify the idempotency and auth risk in your existing DAGs before writing a single line of new code.
Get a REST integration audit